Design a Connected Healthcare Cloud for Epic, Data and AI

Moving Epic to the cloud is about more than infrastructure. Healthcare organizations also need to connect enterprise data, analytics, research and AI while maintaining the security, performance and reliability their critical workloads demand.

The challenge is building an environment that brings these technologies together without adding unnecessary complexity.

Build around connected workloads

Epic, Clarity, Caboodle, enterprise data platforms and AI services each have different infrastructure and operational requirements. A successful cloud architecture accommodates those differences while maintaining secure, reliable connections between systems.

That starts with understanding where workloads should run, how data moves between environments, and who manages them. Not every workload needs to reside in the same place. A healthcare organization might keep critical Epic workloads in a governed private cloud while securely connecting to Azure, Microsoft Fabric, Databricks and other services that support analytics and AI.

Establish a secure foundation

Critical healthcare workloads require a strong foundation for security, resilience, performance and day-to-day operations.

Private cloud can provide that foundation while supporting secure connectivity to public cloud platforms and specialized services. Workloads can then be placed in the environments that best meet the organization’s requirements, with private and public cloud each serving a role in the broader architecture.

A well-designed architecture brings these environments together while maintaining consistent security, governance and operational oversight.

Connect data to support new capabilities

The data surrounding Epic creates opportunities that extend beyond traditional clinical reporting. When enterprise data, analytics, research and AI can securely access the information they need, healthcare organizations can support new insights and capabilities.

Achieving that requires organizations to understand how information flows between systems, how access is governed and how responsibilities are managed across environments.

Build connectivity and governance into the architecture from the start.

Simplify operations as the environment evolves

As healthcare organizations adopt more applications and cloud services, managing dependencies and operational responsibilities becomes increasingly important.

The underlying platform should reduce that complexity through integrated security, connectivity, resilience and operational management. Teams should be able to focus on supporting clinical operations, advancing analytics and developing AI capabilities rather than managing disconnected infrastructure.

Build for evolving requirements

Epic will remain central to many healthcare workflows, but the surrounding ecosystem of data, analytics, research and AI will continue to evolve.

At Rackspace, we design cloud foundations around these changing requirements, connecting the technologies and services healthcare organizations need while supporting workloads in the environments that make the most sense.

The goal is a secure, connected and manageable healthcare cloud that supports Epic today while creating a foundation for the data, analytics and AI capabilities of tomorrow.

Learn more about how Rackspace helps healthcare organizations connect Epic, data, AI and critical workloads through a secure, governed cloud foundation.